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Identification of transfer functions with time delay and its application to cable fault location

机译:时滞传递函数的辨识及其在电缆故障定位中的应用

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摘要

A Gaussian frequency-domain maximum likelihood estimator (MLE) to estimate the transfer function of linear continuous-time systems with time delay is presented. The stochastic framework is an errors-in-variables model, which means that the input as well as the output of the system is disturbed with noise. The estimator is applied to a practical measurement problem, namely the estimation of the location of discontinuities, e.g. faults in electrical cables from a reflectogram. Experimental results for coaxial lines show that it is possible to identify simultaneously the location of the discontinuity and a rational approximation of the generator mismatch, the fault impedance, and some of the cable parameters.
机译:提出了一种高斯频域最大似然估计器(MLE),用于估计具有时间延迟的线性连续时间系统的传递函数。随机框架是变量误差模型,这意味着系统的输入和输出都会受到噪声的干扰。估计器应用于实际的测量问题,即不连续点的位置的估计,例如不连续点的估计。反射图中的电缆故障。同轴线的实验结果表明,可以同时确定不连续点的位置以及发电机失配,故障阻抗和某些电缆参数的合理近似值。

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